Christopher J. Anders
Impact in
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Health Informatics top 10%
Papers in
-
- Explainable Artificial Intelligence (XAI) 8
- Quantum Computing Algorithms and Architecture 1
-
- Quantum Chromodynamics and Particle Interactions 3
- Particle physics theoretical and experimental studies 2
- Co-authors
- Klaus- Robert Müller (7 shared papers)Wojciech Samek (5 shared papers)Sebastian Lapuschkin (4 shared papers)Grégoire Montavon (3 shared papers)Pan Kessel (7 shared papers)Kim A. Nicoli (5 shared papers)Karl Jansen (4 shared papers)Shinichi Nakajima (5 shared papers)
- Journals
- Information Fusion (1 paper)Physical Review Letters (1 paper)Physical review. D (1 paper)Pattern Recognition (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanySouth KoreaJapan
In The Last Decade
Christopher J. Anders
12 papers receiving 1.2k citations
Christopher J. Anders's Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 563
- Health Informatics 23
- Statistical and Nonlinear Physics 48
- Statistics and Probability 50
- Nuclear and High Energy Physics 60
Countries citing papers authored by Christopher J. Anders
This map shows the geographic impact of Christopher J. Anders's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher J. Anders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Anders more than expected).
Fields of papers citing papers by Christopher J. Anders
This network shows the impact of papers produced by Christopher J. Anders. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher J. Anders. The network helps show where Christopher J. Anders may publish in the future.
Co-authors
The 16 scholars most cited alongside Christopher J. Anders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Hit paper breakdown → | 2021 | 940 |
| 2 | 2021 | 88 | |
| 3 | 2021 | 87 | |
| 4 | 2021 | 33 | |
| 5 | Explanations can be manipulated and geometry is to blame | 2019 | 22 |
| 6 | 2019 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2026 | 0 |
About Christopher J. Anders
Christopher J. Anders is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Condensed Matter Physics, Statistics and Probability and Statistical and Nonlinear Physics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (8 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Particle physics theoretical and experimental studies (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Theoretical and Computational Physics (2 papers), Model Reduction and Neural Networks (1 paper), Ethics and Social Impacts of AI (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Artificial Intelligence (563 citations), Health Informatics (23 citations), Statistical and Nonlinear Physics (48 citations), Statistics and Probability (50 citations) and Nuclear and High Energy Physics (60 citations). Christopher J. Anders has collaborated with scholars based in Germany, South Korea and Japan. Frequent co-authors include Klaus- Robert Müller, Wojciech Samek, Sebastian Lapuschkin, Grégoire Montavon, Pan Kessel, Kim A. Nicoli, Karl Jansen, Shinichi Nakajima, Tobias Hartung and Leander Weber. Their work appears in journals such as Information Fusion, Physical Review Letters, Physical review. D, Pattern Recognition and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.